Feature Extraction
Transformers
Safetensors
Laya
English
multilingual
laya_browser
custom_code
system-1
browser-agent
web-navigation
decision-model
mmbert
mind2web
tilelang
Instructions to use cklxx/laya-browser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cklxx/laya-browser with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="cklxx/laya-browser", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cklxx/laya-browser", trust_remote_code=True, device_map="auto") - Laya
How to use cklxx/laya-browser with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download results/suite_v10s_tau0.json from cklxx/laya-browser: direct link, hf CLI and curl.
- Browser
- Download file 1.82 kB
-
https://huggingface.co/cklxx/laya-browser/resolve/main/results/suite_v10s_tau0.json
- Command line
-
hf download hf://cklxx/laya-browser/results/suite_v10s_tau0.json
-
curl -L -o suite_v10s_tau0.json https://huggingface.co/cklxx/laya-browser/resolve/main/results/suite_v10s_tau0.json
1.82 kB
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| { | |
| "name": "wiki-search", | |
| "pass": false, | |
| "steps": 4, | |
| "status": "blocked", | |
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| "pass": true, | |
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| "status": "done", | |
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| { | |
| "name": "hn-login-page", | |
| "pass": true, | |
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| "status": "done", | |
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| "name": "books-open-book", | |
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| "name": "internet-checkbox", | |
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| { | |
| "name": "books-page2", | |
| "pass": false, | |
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| "name": "hn-past", | |
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| "name": "ddg-search", | |
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